Onsite & martech
what your data describes.
Bloomreach powers search, merchandising and recommendations from your product catalog. GoDataFeed delivers that catalog complete, normalized and current - so discovery works from truth.
Why it matters
What it rewards
What it needs from your feed
Thirty minutes, live, on your data — the mapping, the rules, the validations, the fix list. Or watch the demo tour first: the recorded version, no meeting required.
Why the catalog sets the ceiling
Bloomreach can only rank, recommend and facet on the attributes it receives. Inconsistent categories and missing fields do not degrade gracefully - they quietly narrow what discovery can do.
The fields ranking and recommendation logic depend on, populated across the catalog.
Rules standardize categories and values so merchandising groups the way you intend.
Sold-out SKUs drop from results and recommendations before they disappoint.
The same governed catalog behind your channels powers onsite discovery.
How it works
01
Your full catalog imports automatically with variants, attributes and inventory.
02
Rules normalize values and fill the fields discovery logic reads.
03
Catalog changes flow through automatically, keeping the index current.
1
governed catalog behind discovery and every channel.
60+
channels the same catalog can feed.
0
separate exports for the discovery index to drift on.
Questions, answered
What data does Bloomreach consume?
A structured product catalog - titles, attributes, categories, imagery, price and availability - delivered normalized and current.
Why does normalization matter?
Facets and merchandising rules read exact values. Five spellings of one color become five facets - rules collapse them to one.
How current is the catalog?
As current as your schedule. Changes flow through automatically.
Go deeper
At a glance
Type
Channel
Connection
Feed format
Refresh
Order sync
No
Plan
Identity key
Before you start
Note
GoDataFeed optimizes, enriches, validates, and keeps your product data in sync across Google, Meta, marketplaces, and AI shopping.
